MétaCan
Menu
Back to cohort
Record W4410093751 · doi:10.1037/hea0001512

A randomized controlled trial testing the benefits of prosocial writing in young adult survivors of adolescent and young adult cancer.

2025· article· en· W4410093751 on OpenAlexaff
Marcie D. Haydon, Annette L. Stanton, Michael A. Hoyt, Julienne E. Bower

Bibliographic record

VenueHealth Psychology · 2025
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsInstitute of Population and Public Health
Fundersnot available
KeywordsProsocial behaviorYoung adultPsychologyRandomized controlled trialDevelopmental psychologyClinical psychologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Research on psychosocial interventions for survivors of adolescent and young adult (AYA) cancer is lacking, despite many experiencing adverse sequelae, including disruptions in psychosocial well-being. METHOD: The AYA Writing Project, an online randomized controlled trial, tested the efficacy of two prosocial writing interventions-peer helping and expressive writing + peer helping-against a cancer-specific fact-writing control. Young adults (18-39 years old) diagnosed with cancer at age 15-39 completed one 20-min writing activity each week for 4 weeks. Assessments were conducted at preintervention, postintervention, and 1-month postintervention. Analyses compared each intervention to the control condition using linear mixed models. The primary outcome was a change in well-being (i.e., total, hedonic, eudaimonic social, and eudaimonic psychological well-being) from preintervention to postintervention. Secondary outcomes included social support and depressive symptoms. RESULTS: ²s ≤ 0.04). For all other outcomes, no significant interaction effects emerged. CONCLUSION: Engaging in online peer helping via prosocial writing is an effective and accessible means of enhancing eudaimonic psychological well-being and social support among young adult survivors of AYA cancer. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.047
GPT teacher head0.404
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueHealth PsychologySame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207